activity
20142022
most citedReading Car License Plates Using Deep Convolutional Neural Networks and LSTMs

177 citations · 317 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2022★ 1 cited

FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs

Hui Li, Zihao Li, Rui Ma +1

Class activation map (CAM) has been widely studied for visual explanation of the internal working mechanism of convolutional neural networks. The key of existing CAM-based methods…

cs.CV2022

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

Caiyuan Zheng, Hui Li, Seon-Min Rhee +3

Scene text recognition (STR) attracts much attention over the years because of its wide application. Most methods train STR model in a fully supervised manner which requires large…

cs.CV2020★ 1 cited

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge

Peng Wang, Dongyang Liu, Hui Li +1

Conventional referring expression comprehension (REF) assumes people to query something from an image by describing its visual appearance and spatial location, but in practice, we…

cs.CV2019★ 7 cited

Towards End-to-End Text Spotting in Natural Scenes

Peng Wang, Hui Li, Chunhua Shen

Text spotting in natural scene images is of great importance for many image understanding tasks. It includes two sub-tasks: text detection and recognition. In this work, we propose…

cs.CV2019★ 5 cited

A Holistic Representation Guided Attention Network for Scene Text Recognition

Lu Yang, Fan Dang, Peng Wang +3

Reading irregular scene text of arbitrary shape in natural images is still a challenging problem, despite the progress made recently. Many existing approaches incorporate sophistic…

cs.CV2018★ 2 cited

Visual Question Answering as Reading Comprehension

Hui Li, Peng Wang, Chunhua Shen +1

Visual question answering (VQA) demands simultaneous comprehension of both the image visual content and natural language questions. In some cases, the reasoning needs the help of c…